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Lead Software Engineer (Full Stack): Biometric Authentication

Mastercard

Lead Software Engineer (Full Stack): Biometric Authentication

Mastercard

Pune, India

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Flexible work arrangements

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Professional development budget

401(k) matching

Parental leave

Flexible Hours

Equity

Healthcare

Learning

Parental Leave

Required Skills

React

PostgreSQL

TypeScript

About Us

At Mastercard, we're powering economies and empowering people, building ​ a sustainable economy where everyone prospers.

Size: 10000+ employees
Industry: Consulting, Financial Services, Technology, Fintech

View Company Profile

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Lead Software Engineer (Full Stack): Biometric Authentication

Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.

Overview:

Background

The Mastercard Authentication Program owns how consumer authentication works for both in-store and e-commerce transactional use cases. The primary purpose of this role is to develop and deliver best-of-breed authentication products for e-commerce transactional use cases that will drive uptake and penetration for the products and revenue for Mastercard. The authentication products that fall within this role's responsibilities are ID Check, Token Authentication Service and Token Authentication Framework.

If you want a challenging project that is changing the way people do payments, this is the role for you!

  • As a Lead Software Engineer, you will be responsible for
  • Design and develop secure, reliable, and scalable solutions for globally distributed customer facing products
  • Support development teams and work with stakeholders, promoting agile development
  • Integrate our systems with third-party SaaS products, ensuring seamless data flow and functionality
  • Research, create and evaluate technical solution alternatives for the business needs using current and upcoming technologies and frameworks

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  • They are hands on all the time and collaborate by writing interfaces, tests, unit or acceptance and architecture fitness functions, outside of meeting rooms• Participate in architectural discussions, code reviews, and contribute to a collaborative engineering culture.
  • Work with business/product owners to architect and deliver on new services to introduce new products and bundles• Ensure the quality, performance, and security of our applications through testing, optimization, and adherence to best practices.
  • Contribute and lead initiatives by engaging and mentoring Engineers at all levels to improve the craftmanship of Software Engineering Technologies: -• Microservices architecture and development
  • Java, Spring boot, RESTful APIs, Open API specification• Front end development
  • Javascript, HTML/CSS, using React / Angular / Vue.js frameworks• Experience working with more than one object-oriented programming languages
  • C/C++ or Python with flask or Node.js (preferrable)• Proven experience working with major cloud platforms (Azure, AWS) and a strong understanding of cloud-based services, with specific expertise in container orchestration using AKS or EKS• Experience deploying and managing applications in docker containers• Databases
  • SQL and NoSQL databases such as Oracle, Mongo, PostgreSQL, Redis• Secure communication (HTTPS, TLS, OAuth) and security best practices such as data encryption and protection against vulnerabilities About You• Bachelor's degree in information systems, Information Technology, Computer Science or Engineering or equivalent work experience.
  • Experience with various architectural patterns, including high performance, high availability transaction processing and multi-tiered web applications• Hands-on experience in designing solutions and full stack development in modern technologies for large enterprise technology platforms and systems• Hands-on experience in coding Microservices in Java, building UI/UX, frameworks such as React, Angular, spring boot, RDBMS, Oracle and event driven architecture.
  • Hands on experience integrating vendor and open-source products into a cohesive system• Experience in deploying applications using CI/CD pipelines, docker containers & Kubernetes to Cloud platforms is preferred• Has experience designing and implementing solutions focusing on the non-functional concerns
  • Performance, Scalability, Availability, Extensibility, Supportability, Usability• Operate with urgency, fairness and decency to address challenges and solve for new opportunities.
  • Strong communicator to maintain internal and external alignment.
  • Familiar with cutting edge industry trends and thorough understanding of development methodologies and standards,• Has skills to succinctly articulate architecture patterns of complex systems, with business and technical implications, to executive and customer stakeholders• Experienced in agile and modern SDLC practices: Scrum/Kanban/Continuous Delivery/DevOps/Quality engineering, and the delivery situations they are used for Good to have:
  • Familiarity with the payments industry, payment processing, reporting and data & analytics domain• Understanding of image processing techniques and computer vision principles is beneficial• Exposure to trending technologies (AI/ML, IOT, Bot, Quantum Computing) and architectures is very good to have• Exposure to security best practices for biometric systems, including data encryption, authentication protocols, and vulnerability mitigation.

Our teams and values:

  • We work within small collaborative teams consisting of software engineers and product managers• Our customer's success is at the core of what we do• We are diverse and inclusive teams from many backgrounds and with many experiences• We believe in doing well by doing good through inclusive growth and making ethical and environmentally responsible decisions Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • Abide by Mastercard's security policies and practices;
  • Ensure the confidentiality and integrity of the information being accessed;
  • Report any suspected information security violation or breach, and
  • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

Client-provided location(s): Pune, India

Job ID: Mastercard-22331_R-256840

Employment Type: OTHER

Posted: 2025-08-11T15:51:30
Apply on company site

Perks and Benefits

Health and Wellness

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Short-Term Disability
  • Long-Term Disability
  • FSA
  • FSA With Employer Contribution
  • HSA
  • HSA With Employer Contribution
  • Fitness Subsidies
  • On-Site Gym
  • Pet Insurance
  • Mental Health Benefits
  • Virtual Fitness Classes
  • Health Reimbursement Account

Parental Benefits

  • Birth Parent or Maternity Leave
  • Non-Birth Parent or Paternity Leave
  • Fertility Benefits
  • Adoption Assistance Program
  • Family Support Resources
  • On-site/Nearby Childcare
  • Adoption Leave

Work Flexibility

  • Flexible Work Hours
  • Remote Work Opportunities
  • Hybrid Work Opportunities

Office Life and Perks

  • Commuter Benefits Program
  • Casual Dress
  • Happy Hours
  • Snacks
  • Company Outings
  • On-Site Cafeteria
  • Holiday Events
  • Some Meals Provided

Vacation and Time Off

  • Paid Vacation
  • Paid Holidays
  • Personal/Sick Days
  • Leave of Absence
  • Volunteer Time Off

Financial and Retirement

  • 401(K) With Company Matching
  • Performance Bonus
  • Relocation Assistance
  • Financial Counseling
  • Stock Purchase Program
  • 401(K)
  • Company Equity

Professional Development

  • Tuition Reimbursement
  • Promote From Within
  • Mentor Program
  • Access to Online Courses
  • Lunch and Learns
  • Internship Program
  • Work Visa Sponsorship
  • Leadership Training Program
  • Associate or Rotational Training Program
  • Shadowing Opportunities

Diversity and Inclusion

Employee Resource Groups (ERG)

Apply on company site

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About Mastercard

Mastercard

A financial network that processes payments between banks and cardholders

10,001+

Employees

Purchase

Headquarters

$360B

Valuation

Reviews

4.1

15 reviews

Work Life Balance

4.0

Compensation

3.5

Culture

3.5

Career

3.0

Management

3.0

65%

Recommend to a Friend

Pros

Good work-life balance reputation

Competitive compensation packages

Strong benefits and perks

Cons

Recent layoffs and job insecurity

Limited negotiation flexibility on salary

No RSUs for some positions

Salary Ranges

32 data points

Junior/L3

Director

Junior/L3 · Data Engineer

5 reports

$137,800

total / year

Base

$106,000

Stock

-

Bonus

-

$107,900

$166,918

Interview Experience

7 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Offer Rate

29%

Experience

Positive 0%

Neutral 86%

Negative 14%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Behavioral Interview

5

Final Round/Super Day

6

Offer Decision

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience